Performance on Large Scale Dataset:
We scale the proposed algorithm to large scale image dataset with millions of images, and test on both using full size gVLAD and PCA dimension reduced 128-D descriptors. In total, 4 large scale datasets are used, including Holidays + Flickr 1M, Rotated Holidays + Flickr 1M, Oxford 105K, and Oxford 5K + Flickr 1M. As can be seen from Table REF , our methods outperform all current state-of-the-art methods. For example, using dimension reduced 128-D gVLAD descriptors, on Holidays + Flickr 1M dataset, our algorithm outperforms the best result [1]} reported in literature with a significant gain of \(22.8\%\) . On Oxford 105K dataset, we are able to achieve \(11.6\%\)  better result than  [1]}.
